Smart Products Made Smarter

智能产品变得更智能

• 批准号: EP/X025365/1
• 负责人: Stephen McLaughlin
• 金额: $ 340.23万
• 依托单位: Heriot-Watt University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX025365%2F1
• 关键词: Smart; Products; Made; Smarter

For high technology companies such as Leonardo engaging in innovative research that might not produce a commercial return on investment for up to 10 years or beyond is vital. Our vision is to enable a paradigm shift in high-value low-volume remote sensing systems from concept to production: this requires a fusion of computational imaging concepts, that blur the traditional boundaries between sensing and signal processing, through-life digital modelling, that places innovative manufacture at the heart of the total system design and finally, individual AI/Robotic support, that multiplies the output of highly skilled production and maintenance personnel. The low volume, highly complex sensor systems produced by Leonardo present complex engineering challenges for design and production. Advances in machine learning, cobotics, novel materials, additive manufacturing, digital twinning and signal & image processing provide new paradigms for the end-to-end design and production processes and requires the development of a fully integrated digital design, assembly and manufacturing capability.

对于像列奥纳多这样的高科技公司来说，从事创新研究可能在长达10年或更长时间内不会产生商业投资回报，这是至关重要的。我们的愿景是实现高价值低容量遥感系统从概念到生产的范式转变：这需要融合计算成像概念，模糊传感和信号处理之间的传统界限，贯穿整个生命周期的数字建模，将创新制造置于整个系统设计的核心，最后，个人AI/机器人支持，使高技能生产和维护人员的产量成倍增加。列奥纳多生产的小批量、高度复杂的传感器系统为设计和生产带来了复杂的工程挑战。机器学习、协作机器人、新型材料、增材制造、数字孪生以及信号和图像处理的进步为端到端设计和生产流程提供了新的范例，并要求开发完全集成的数字设计、装配和制造能力。